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- W2398318082 abstract "AbstractThe Multisource Weber Problem consists of finding the location of m facilities in the Euclidean space such that the total transportation cost needed to satisfy the demand of n fixed customers is minimized. This problem is an NP-Hard problem. As a consequence, exact methods are restricted to small size problems and many heuristics have been proposed to find quickly approximate optimal solutions for real size problems. In this paper, we propose a new heuristic based on artificial neural networks. Several variations of this approach are presented. Their performance is compared to the best results obtained for a set of two problems, one with 654 customers and the other one with 1060 customers, with a various number of facilities." @default.
- W2398318082 created "2016-06-24" @default.
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- W2398318082 date "1999-08-01" @default.
- W2398318082 modified "2023-09-25" @default.
- W2398318082 title "A Neural Heuristic For The Multisource Weber Problem" @default.
- W2398318082 cites W4213332169 @default.
- W2398318082 doi "https://doi.org/10.1080/03155986.1999.11732382" @default.
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